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Establishing the means to improve performance in healthy, clinical,
and military populations has long been a focus of study in the
psychological and brain sciences. However, a major obstacle to this
goal is generating individualized performance phenotypes that allow
for the design of interventions that are tailored to the specific
needs of the individual. Recent developments in artificial
intelligence (AI) have qualified for the development of precision
approaches that consider individual differences, allowing, for
example, the establishment of individualized training, preparation,
and recuperation programs optimal for an individual's cognitive and
biological phenotype. Corollary developments in AI have proven that
combining domain expertise and stakeholder insights can
considerably improve AI's quality, performance, and dependability
in the psychology and brain sciences. Recent Developments in
Machine and Human Intelligence studies original empirical work,
literature reviews, and methodological papers that establish and
validate precision AI methods for human performance optimization
with a focus on modeling individual differences via
state-of-the-art computational methods and investigating how domain
expertise and human judgment can improve the performance of AI
methods. The topics are crafted in such a way as to cover all the
areas of artificial and human intelligence that require AI for
further development. This book contains algorithms and techniques
that are explained with the help of developed source code and
encompasses the readiness and needs for advancements in managing
yet another pandemic in the future. It is designed for
academicians, scientists, research scholars, professors, graduates,
undergraduates, and students.
In recent years, falsification and digital modification of video
clips, images, as well as textual contents have become widespread
and numerous, especially when deepfake technologies are adopted in
many sources. Due to adopted deepfake techniques, a lot of content
currently cannot be recognized from its original sources. As a
result, the field of study previously devoted to general multimedia
forensics has been revived. The Handbook of Research on Advanced
Practical Approaches to Deepfake Detection and Applications
discusses the recent techniques and applications of illustration,
generation, and detection of deepfake content in multimedia. It
introduces the techniques and gives an overview of deepfake
applications, types of deepfakes, the algorithms and applications
used in deepfakes, recent challenges and problems, and practical
applications to identify, generate, and detect deepfakes. Covering
topics such as anomaly detection, intrusion detection, and security
enhancement, this major reference work is a comprehensive resource
for cyber security specialists, government officials, law
enforcement, business leaders, students and faculty of higher
education, librarians, researchers, and academicians.
This book presents the latest cutting edge research, theoretical
methods, and novel applications in the field of computational
intelligence and computational biological approaches that are
aiming to combat COVID-19. The book gives the technological key
drivers behind using AI to find drugs that target the virus,
shedding light on the structure of COVID-19, detecting the outbreak
and spread of new diseases, spotting signs of a COVID-19 infection
in medical images, monitoring how the virus and lockdown is
affecting mental health, and forecasting how COVID-19 cases and
deaths will spread across cities and why. Further, the book helps
readers understand computational intelligence techniques combating
COVID-19 in a simple and systematic way.
This book provides information on interdependencies of medicine and
telecommunications engineering and how the two must rely on
each other to effectively function in this era. The book discusses
new techniques for medical service improvisation such as
clear-cut views on medical technologies. The authors provide
chapters on communication essentiality in healthcare, processing of
medical amenities using medical images, the importance of data and
information technology in medicine, and machine learning and
artificial intelligence in healthcare.  Authors include
researchers, academics, and professionals in the field.
Intelligent Cyber-Physical Systems Security for Industry 4.0:
Applications, Challenges and Management presents new cyber-physical
security findings for Industry 4.0 using emerging technologies like
artificial intelligence (with machine/deep learning), data mining,
applied mathematics. All these are the essential components for
processing data, recognizing patterns, modeling new techniques, and
improving the advantages of data science. Features * Presents an
integrated approach with Cyber-Physical Systems, CPS security, and
Industry 4.0 in one place * Exposes the necessity of security
initiatives, standards, security policies, and procedures in the
context of industry 4.0 * Suggests solutions for enhancing the
protection of 5G and the Internet of Things (IoT) security *
Promotes how optimization or intelligent techniques envisage the
role of artificial intelligence-machine/deep learning (AI-ML/DL) in
cyberphysical systems security for industry 4.0 This book is
primarily aimed at graduates, researchers and professionals working
in the field of security. Executives concerned with security
management, knowledge dissemination, information, and policy
development for data and network security in different educational,
government, and non-government organizations will also find this
book useful.
This book presents the latest cutting edge research, theoretical
methods, and novel applications in the field of computational
intelligence and computational biological approaches that are
aiming to combat COVID-19. The book gives the technological key
drivers behind using AI to find drugs that target the virus,
shedding light on the structure of COVID-19, detecting the outbreak
and spread of new diseases, spotting signs of a COVID-19 infection
in medical images, monitoring how the virus and lockdown is
affecting mental health, and forecasting how COVID-19 cases and
deaths will spread across cities and why. Further, the book helps
readers understand computational intelligence techniques combating
COVID-19 in a simple and systematic way.
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Michael Buble
CD
(1)
R172
R154
Discovery Miles 1 540
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